3.1 Scatterplots 3.2 Getting a line on the pattern 3.3 Correlation : the strength of a linear trend 3.4 Diagnostics : looking for features that the summaries miss 3.5 Shape-changing transformations

4 Sample surveys and experiments

4.1 Why take samples, and how not to 4.2 Randomizing : playing it safe by taking chances 4.3 Experiments and inference about cause 4.4 Designing experiments to reduce variability

5 Sampling distributions

5.1 Sampling from a population 5.2 Generating sampling distributions 5.3 Sampling distribution of the sample mean 5.4 Sampling distribution of the sample proportion 5.5 Sampling distribution of the sum and difference

8.1 Estimating a proportion with confidence 8.2 Testing a proportion 8.3 A confidence interval for the difference of two proportions 8.4 A significance test for the difference of two proportions

9 Inference for means

9.1 Toward a confidence interval for a mean 9.2 Toward a significance test for a mean 9.3 When you estimate [sigma] : the t-distribution 9.4 The effect of long tails and outliers 9.5 Inference for the difference between two means 9.6 Paired comparisons

3.1 Scatterplots 3.2 Getting a line on the pattern 3.3 Correlation : the strength of a linear trend 3.4 Diagnostics : looking for features that the summaries miss 3.5 Shape-changing transformations

4 Sample surveys and experiments

4.1 Why take samples, and how not to 4.2 Randomizing : playing it safe by taking chances 4.3 Experiments and inference about cause 4.4 Designing experiments to reduce variability

5 Sampling distributions

5.1 Sampling from a population 5.2 Generating sampling distributions 5.3 Sampling distribution of the sample mean 5.4 Sampling distribution of the sample proportion 5.5 Sampling distribution of the sum and difference

8.1 Estimating a proportion with confidence 8.2 Testing a proportion 8.3 A confidence interval for the difference of two proportions 8.4 A significance test for the difference of two proportions

9 Inference for means

9.1 Toward a confidence interval for a mean 9.2 Toward a significance test for a mean 9.3 When you estimate [sigma] : the t-distribution 9.4 The effect of long tails and outliers 9.5 Inference for the difference between two means 9.6 Paired comparisons